一、介绍 目的：使Linux可以正常上网，前提是物理机可以上网 软件环境： 虚拟机版本： VMware Workstation...
name ="zk-${count.index +1}"type ="A"ttl =60records = element(aws_network_interface.zk.*.private_ips, count.index) } 复制代码 定义输出 在成功运行terraform apply后会输出 ZooKeeper 服务实例的 IP 及对应的域名。 output"zk_node_private_ip"{ value = aws_instance.zk.*.private_ip descriptio...
description = "The amount of time, in seconds, that Amazon EC2 Auto Scaling waits before checking the health status of an EC2 instance that has come into service and marking it unhealthy due to a failed health check. see https://docs.aws.amazon.com/autoscaling/ec2/userguide/health-check-g...
从上面的代码可以看到,template参数指向user_data.sh脚本,vars参数包括3个User Data脚本中需要的变量:服务器端口、数据库地址和数据库端口。要使用这些变量,你需要按以下方式更新stage/services/webserver-cluster/user-data.sh脚本。 最后一步是更新aws_launch_configuration资源的user_data参数,使其指向template_file数据...
launch_template { id = aws_launch_template.ss.id version = "$Latest" } lifecycle { ignore_changes = [load_balancers, target_group_arns] } } 配置负载均衡 上一步创建好的 AutoScalingGroup 会 attach 到负载均衡上,经过负载均衡的流量会自动路由到 AutoScalingGroup 创建的 ShardingSphere-Proxy 实例...
resource"aws_launch_template""eks-template"{ name =local.launch_template_name image_id =local.launch_template_image_id instance_type =local.launch_template_instance_type key_name =local.launch_template_key_name vpc_security_group_ids = [aws_security_group.eks-node.id] ...
I created launch template: resource "aws_launch_template" "play_k8s_apps" { name_prefix = "play-k8s-apps-" image_id = "ami-04bf865d65956a33a" disable_api_termination = false disable_api_stop = false update_default_version = true block_device_mappings { device_name = "/dev/xvda" ...
launch_template { id = aws_launch_template.ss.id version = "$Latest" } lifecycle { ignore_changes = [load_balancers, target_group_arns] } } 配置负载均衡 通过上一步创建好的 AutoScalingGroup 会 attach 到负载均衡上,经过负载均衡的流量会自动路由到 AutoScalingGroup 创建的 ShardingSphere-Proxy ...
我们已经简单的入门Terraform, 本篇介绍如何使用Terraform在GCP和AWS 创建Kubernetes 资源。 Kubernetes 在云原生时代的重要性不言而喻,等于这个时代的操作系统,基本上只需要建这个资源,就可以将绝大多数的应用跑在上面,包括数据库,甚至很多团队的大数据处理例如 Spark, Flink 都跑在Kubernetes上。
for serverless and container-based applications. At launch,AWS CloudFormationwas the only option available to customers for provisioning their infrastructure through AWS Proton. SupportingHashiCorp Terraformis currently the most upvoteditem on our public roadmap, so it quickly became a post-launch ...